Key studies of inspiration in AR
| Study | Objective | Research design | AR | Inspired-by | Inspired-to | Stability of the effectsa | Main findings on inspiration |
|---|---|---|---|---|---|---|---|
| Rauschnabel et al. (2019) | Exploring how AR can improve brand attitudes | Survey | Mobile AR (smartphone) | ✔ | – | Cross-sectional | Inspiration increases brand attitudes |
| Hinsch et al. (2020) | Understanding how AR can generate the intention to engage with branded products | Survey | Mobile AR (tablet) | ✔ | ✔ Building with Lego | Cross-sectional | Inspiration process is mediated by nostalgia but not the wow-effect |
| Nikhashemi et al. (2021) | Examining how AR interaction increases customer benefits, engagement and behavioral consequences | Survey | Mobile AR (smartphone or tablet) | ✔ | ✔ Continuous intention, willingness to pay price premium | Cross-sectional | Psychological inspiration's impact on willingness to pay a premium is non-linear. AR personalization moderates the link between utilitarian and hedonic benefits and inspiration |
| Arghashi (2022) | Analyzing purchasing drivers in AR shopping | Experimental study (AR vs non-AR) | Mobile AR (smartphone) | ✔ | ✔ Hedonic shopping motivation and purchase intention | Cross-sectional | Novelty drives inspiration; inspiration leads to hedonic shopping motivations and purchase intention |
| Arghashi and Yuksel (2022) | Understanding how inspiration drives flow (and further downstream consequences) in AR marketing | Survey | Mobile AR (smartphone) | ✔ | – | Cross-sectional | Inspiration drives flow, which increases engagement |
| Zanger et al. (2022) | Exploring how inspirational AR content can turn affect into cognition and behavior | Experimental studies (AR vs non-AR) | Mobile AR (tablet) | ✔ | ✔ Purchase intention, WoM intentions | Cross-sectional | Inspiration mediates the effect of enjoyment on cognitive constructs, drives behavioral responses and increases brand attitude |
| Kumar and Agarwal (2025) | Assessing the effect of AR filters on social media users' self-concept and well-being | In-depth interviews | Mobile AR (AR filters on Snapchat and Instagram) | ✔ | ✔ Reducing ideal actual gap, well-being | Cross-sectional | AR filters can inspire users by enhancing their appearance and encouraging experimentation and self-expression. However, they may also reinforce unrealistic beauty standards, widening the gap between ideal and actual self-perception |
| Tang and Zhou (2025) | Evaluating AR's role in heritage tourism, emphasizing its source of the inspiration experienced by visitors | Experimental studies (AR vs non-AR) | Pictures, videos, mobile AR (tablet) | ✔ | ✔ Satisfaction | Cross-sectional | Inspiration acts as a mediator in the relationship between intertemporal connectedness and visitor satisfaction |
| This study | Understanding the anticipated life impact of AR | Survey (antecedents and outcomes of inspiration when using AR HoloLens) | wearable AR (Microsoft HoloLens) | ✔ | ✔ Anticipated impact on life | Time-lagged | First-time exposure to AR can trigger an immediate inspiration, which drives inspired-to constructs even a week later |
| Study | Objective | Research design | AR | Inspired-by | Inspired-to | Stability of the effects | Main findings on inspiration |
|---|---|---|---|---|---|---|---|
| Exploring how AR can improve brand attitudes | Survey | Mobile AR (smartphone) | ✔ | – | Cross-sectional | Inspiration increases brand attitudes | |
| Understanding how AR can generate the intention to engage with branded products | Survey | Mobile AR (tablet) | ✔ | ✔ Building with Lego | Cross-sectional | Inspiration process is mediated by nostalgia but not the wow-effect | |
| Examining how AR interaction increases customer benefits, engagement and behavioral consequences | Survey | Mobile AR (smartphone or tablet) | ✔ | ✔ Continuous intention, willingness to pay price premium | Cross-sectional | Psychological inspiration's impact on willingness to pay a premium is non-linear. AR personalization moderates the link between utilitarian and hedonic benefits and inspiration | |
| Analyzing purchasing drivers in AR shopping | Experimental study (AR vs non-AR) | Mobile AR (smartphone) | ✔ | ✔ Hedonic shopping motivation and purchase intention | Cross-sectional | Novelty drives inspiration; inspiration leads to hedonic shopping motivations and purchase intention | |
| Understanding how inspiration drives flow (and further downstream consequences) in AR marketing | Survey | Mobile AR (smartphone) | ✔ | – | Cross-sectional | Inspiration drives flow, which increases engagement | |
| Exploring how inspirational AR content can turn affect into cognition and behavior | Experimental studies (AR vs non-AR) | Mobile AR (tablet) | ✔ | ✔ Purchase intention, WoM intentions | Cross-sectional | Inspiration mediates the effect of enjoyment on cognitive constructs, drives behavioral responses and increases brand attitude | |
| Assessing the effect of AR filters on social media users' self-concept and well-being | In-depth interviews | Mobile AR (AR filters on Snapchat and Instagram) | ✔ | ✔ Reducing ideal actual gap, well-being | Cross-sectional | AR filters can inspire users by enhancing their appearance and encouraging experimentation and self-expression. However, they may also reinforce unrealistic beauty standards, widening the gap between ideal and actual self-perception | |
| Evaluating AR's role in heritage tourism, emphasizing its source of the inspiration experienced by visitors | Experimental studies (AR vs non-AR) | Pictures, videos, mobile AR (tablet) | ✔ | ✔ Satisfaction | Cross-sectional | Inspiration acts as a mediator in the relationship between intertemporal connectedness and visitor satisfaction | |
| This study | Understanding the anticipated life impact of AR | Survey (antecedents and outcomes of inspiration when using AR HoloLens) | wearable AR (Microsoft | ✔ | ✔ Anticipated impact on life | Time-lagged | First-time exposure to AR can trigger an immediate inspiration, which drives inspired-to constructs even a week later |
Time-lagged in our study refers to the measurement of inspired-by at t1 and inspired-to at t2 (on average about five days later)
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